Feasibility of multi-parametric magnetic resonance imaging combined with machine learning in the assessment of necrosis of osteosarcoma after neoadjuvant chemotherapy: a preliminary study

Feasibility of multi-parametric magnetic resonance imaging combined with machine learning in the assessment of necrosis of osteosarcoma after neoadjuvant chemotherapy: a preliminary study

Abstract Background Response evaluation of neoadjuvant chemotherapy (NACT) in patients with osteosarcoma is significant for the termination of ineffective treatment, the development of postoperative chemotherapy regimens, and the prediction of prognosis. However, histological response and tumour nec...

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Bibliographic Details
Main Authors: Bingsheng Huang, Jifei Wang, Meili Sun, Xin Chen, Danyang Xu, Zi-Ping Li, Jinting Ma, Shi-Ting Feng, Zhenhua Gao
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Cancer
Subjects:
Osteosarcoma
Random forest
MRI
Neoadjuvant chemotherapy
Online Access:http://link.springer.com/article/10.1186/s12885-020-06825-1

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